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ProtoForge:an open-source ai-agent and agentic ai framework for autonomous code generation, product prototyping, iterative development, and IP protection — powered by composable LLM agents and designed for private, full-stack R&D workflow.

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ProtoForge

An open-source AI-agent and agentic AI framework for autonomous code generation, product prototyping, iterative development, and IP protection — powered by composable LLM agents and designed for private, full-stack R&D workflow.

中文版本 | Chinese Version

Overview

ProtoForge is a comprehensive AI-agent framework specifically designed for SME (Small and Medium Enterprises) and ISV (Independent Software Vendors) to accelerate their product development lifecycle. Built with Go as the core language, ProtoForge provides a secure, scalable, and enterprise-ready solution for autonomous code generation, rapid prototyping, and intellectual property protection.

Key Pain Points Addressed

  • Fragmented Development Workflow: Traditional R&D processes lack seamless integration between prototyping, development, and IP protection
  • Limited AI Integration: Existing frameworks don't provide enterprise-grade security and compliance for sensitive code generation
  • Scalability Constraints: Most AI-agent frameworks struggle with concurrent multi-agent orchestration and horizontal scaling
  • IP Protection Gaps: Current solutions lack built-in mechanisms for code provenance tracking and license compliance
  • Complex Multi-Language Integration: Difficulty in creating unified workflows across different programming languages and platforms

Core Value Proposition

ProtoForge transforms the traditional R&D workflow by providing:

  1. Autonomous Code Generation: AI-powered code creation with built-in quality assurance and testing
  2. Intelligent Prototyping: Rapid prototype development with iterative refinement capabilities
  3. IP Protection Framework: Comprehensive license scanning, code watermarking, and provenance tracking
  4. Enterprise Security: Private deployment with role-based access control and audit logging
  5. Composable Agent Architecture: Modular design enabling custom agent workflows and integrations

Key Features

🚀 Three-Stage R&D Rocket

  • Stage 1: Prototype Generation with AI-assisted design and validation
  • Stage 2: Iterative Development with automated testing and code review
  • Stage 3: IP Protection with license compliance and code attribution

🛡️ Security-First Architecture

  • Built-in security agent for autonomous threat detection and response
  • Private deployment with encrypted communication
  • RBAC (Role-Based Access Control) and comprehensive audit trails
  • Compliance framework supporting GDPR, ISO 27001, and industry standards

🔧 Extensible Agent Framework

  • Plugin-based architecture supporting custom tools and integrations
  • Multi-language support with Go core and Python/JavaScript extensions
  • Visual workflow designer with drag-and-drop interface
  • RESTful APIs and gRPC interfaces for seamless integration

📊 Enterprise Observability

  • Real-time monitoring and performance metrics
  • Distributed tracing for complex agent workflows
  • Centralized logging with structured event correlation
  • Custom dashboards and alerting systems

Architecture Overview

ProtoForge follows a layered, microservices architecture designed for scalability and maintainability:

graph TD
    %% 系统架构图
    subgraph UI[用户界面层(User Interface Layer)]
        A1[Web控制台(Web Console)] 
        A2[CLI工具(CLI Tools)]
        A3[可视化编辑器(Visual Editor)]
    end

    subgraph API[API网关层(API Gateway Layer)]
        B1[REST API网关(REST Gateway)]
        B2[gRPC服务(gRPC Services)]
        B3[认证授权(Auth & Authorization)]
    end

    subgraph CORE[核心引擎层(Core Engine Layer)]
        C1[代理编排器(Agent Orchestrator)]
        C2[工作流引擎(Workflow Engine)]
        C3[代码生成器(Code Generator)]
    end

    subgraph AGENT[智能体层(Agent Layer)]
        D1[原型设计代理(Prototype Agent)]
        D2[开发测试代理(DevTest Agent)]
        D3[安全防护代理(Security Agent)]
    end

    subgraph INFRA[基础设施层(Infrastructure Layer)]
        E1[向量数据库(Vector DB)]
        E2[知识图谱(Knowledge Graph)]
        E3[监控日志(Monitoring & Logging)]
    end

    UI --> API
    API --> CORE
    CORE --> AGENT
    AGENT --> INFRA
Loading

For detailed architecture information, see Architecture Documentation.

Quick Start

Prerequisites

  • Go 1.20.2 or higher
  • Docker and Docker Compose (for containerized deployment)
  • Git for version control

Installation

# Clone the repository
git clone https://github.com/turtacn/protoforge.git
cd protoforge

# Initialize Go modules
go mod tidy

# Build the application
make build

# Run with default configuration
./bin/protoforge server --config configs/default.yaml

Basic Usage Example

package main

import (
    "context"
    "log"
    
    "github.com/turtacn/protoforge/pkg/agent"
    "github.com/turtacn/protoforge/pkg/workflow"
)

func main() {
    // Initialize ProtoForge client
    client, err := agent.NewClient(&agent.Config{
        APIEndpoint: "http://localhost:8080",
        APIKey:      "your-api-key",
    })
    if err != nil {
        log.Fatal(err)
    }

    // Create a prototype generation workflow
    wf := workflow.NewBuilder().
        AddAgent("prototype", agent.TypePrototype).
        AddAgent("validator", agent.TypeValidator).
        Connect("prototype", "validator").
        Build()

    // Execute workflow
    result, err := client.ExecuteWorkflow(context.Background(), wf, &workflow.Input{
        ProjectSpec: "Create a REST API for user management",
        Language:    "go",
        Framework:   "gin",
    })
    
    if err != nil {
        log.Fatal(err)
    }
    
    log.Printf("Generated code: %s", result.GeneratedCode)
}

Docker Deployment

# Quick start with Docker Compose
docker-compose up -d

# Access the web console
open http://localhost:3000

Use Cases

1. Product R&D Three-Stage Workflow

// Stage 1: Prototype Generation
prototype := protoforge.NewPrototypeAgent()
spec, err := prototype.GenerateFromRequirements(ctx, requirements)

// Stage 2: Iterative Development  
developer := protoforge.NewDeveloperAgent()
code, err := developer.ImplementPrototype(ctx, spec)

// Stage 3: IP Protection
ipAgent := protoforge.NewIPProtectionAgent()
report, err := ipAgent.ScanAndProtect(ctx, code)

2. How to develop AI agents for Autonomous Security Defense System

// Security agent for continuous threat monitoring
securityAgent := protoforge.NewSecurityAgent(&SecurityConfig{
    ThreatModels:    []string{"injection", "privilege-escalation"},
    ResponseActions: []string{"quarantine", "alert", "remediate"},
})

// Deploy autonomous defense
err := securityAgent.Deploy(ctx, &DeploymentConfig{
    MonitoringScope: "full-stack",
    AutoRemediation: true,
})

Configuration

ProtoForge supports flexible configuration through YAML files:

# configs/default.yaml
server:
  host: "0.0.0.0"
  port: 8080
  tls:
    enabled: false

agents:
  prototype:
    model: "gpt-4"
    max_tokens: 2048
  security:
    threat_detection: true
    auto_response: true

database:
  vector_db:
    provider: "chroma"
    connection_string: "http://localhost:8000"

Contributing

We welcome contributions from the community! Please see our Contributing Guide for details.

Development Setup

# Fork and clone the repository
git clone https://github.com/yourusername/protoforge.git

# Install development dependencies
make dev-setup

# Run tests
make test

# Run with live reload
make dev

Contribution Areas

  • Agent implementations and extensions
  • Integration connectors for popular tools
  • Documentation and examples
  • Performance optimizations
  • Security enhancements

License

ProtoForge is released under the MIT License. See LICENSE file for details.

Community & Support

Roadmap

  • Visual workflow designer (Q2 2025)
  • Advanced multi-language support (Q3 2025)
  • Enterprise SSO integration (Q3 2025)
  • Kubernetes operator (Q4 2025)
  • Marketplace for custom agents (Q1 2026)

ProtoForge - Forging the future of AI-powered development workflows.

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ProtoForge:an open-source ai-agent and agentic ai framework for autonomous code generation, product prototyping, iterative development, and IP protection — powered by composable LLM agents and designed for private, full-stack R&D workflow.

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